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Today’s high performance cluster computing technologies demand extreme robustness against unexpected failures to finish aggressively parallelized work in a given time constraint. Although there has been a steady effort in developing hardware and software tools to increase fault-resilience of cluster environments, a successful solution has yet to be delivered to commercial vendors. This paper presents...
This paper presents CLOSH, a source level offloading tool for special-purpose hardware accelerators. CLOSH is designed to make it easy to accelerate existing applications when their source code is available. We evaluated CLOSH with one application on our new TV platform, and found that required cycles are decreased by 27.4%.
Dynamic voltage and frequency scaling (DVFS) is a well-known and effective technique for reducing energy consumption in modern processors. However, accurately predicting the effect of frequency scaling on system performance is a challenging problem in real environments. In this paper, we propose a realistic DVFS performance prediction method, and a practical DVFS control policy (eDVFS) that aims to...
Server consolidation is very attractive for cloud computing platforms to improve energy efficiency and resource utilization. Advances in multi-core processors and virtualization technologies have enabled many workloads to be consolidated in a physical server. However, current virtualization technologies do not ensure performance isolation among guest virtual machines, which results in degraded performance...
Saving data center energy consumption is a hot issue for the environment and the economy. CPU is the biggest energy consuming component in a server, and it has various energy saving technologies, such as C-state and P-state. Advances in multi-core processors and virtualization technologies have enabled many workloads to be consolidated in a physical server, and energy efficiency can be degraded due...
As the cloud markets grow, the cloud providers are faced with new challenges such as reduction of power consumption and guaranteeing service level agreements (SLAs). One reason for these problems is the use of server consolidation policy based on virtualization technologies for maximizing the efficiency of resource usage. Because current virtualization technologies do not ensure performance isolation...
The design of an end-to-end Internet congestion control protocol that could achieve high utilization, fair sharing of bottleneck bandwidth, and fast convergence while remaining TCP-friendly is an ongoing challenge that continues to attract considerable research attention. This paper presents ACP, an Adaptive end-to-end Congestion control Protocol that achieves the above goals in high bandwidth-delay...
Recently, message brokering services that are based on publish and subscribe paradigm are widely adopted in many areas such as remote facilities monitoring. Typically, they support a large scale distributed network of exchanging messages between services and clients. In this paper, we introduce a cloud-based message brokering service which allows better scalability and dynamic load balancing between...
Ubiquitous city (U-city) is a city with ubiquitous information technology that enables citizens to access the converged information anywhere and anytime. A lot of compute power are required in U-city, because large amount of data should be processed in real-time. Cloud computing enables users to use the abstracted and virtualized computing resources and to process huge amount of information without...
This paper focuses on large graph processing based on the remote memory system. Using our remote memory system enables applications to deal with large data sets, especially graph data, which do not fit into the machines main memory. Although recent dramatic increases in DRAM capacity now allow us to build inexpensive computers with very large amounts of main memory, the rise in brand-new Internet...
In this paper, we design and evaluate a remote memory disk cache (RMDC) for high-performance disk I/O. For this purpose, we propose the Remote Memory Block Device (RMBD) that abstracts a set of remote memory regions into a local block device. The RMBD can be used as a cache device for any block devices as well as a stand-alone block device. We evaluate the RMDC using standard benchmarks such as TPC-C,...
Base platforms for many data-intensive applications start to move onto cloud computing services. These applications inherently requires very large storage space, and append-only distributed file systems have been developed for this purpose. These distributed file systems are capable of running on commodity hardware and highly scalable. Cloud computing service providers only try to reduce management...
MapReduce is Google's programming model for easy development of scalable parallel applications which process huge quantity of data on many clusters. Due to its conveniency and efficiency, MapReduce is used in various applications (e.g., Web search services and online analytical processing). However, there are only few good benchmarks to evaluate MapReduce implementations by realistic testsets. In...
Recently there has arisen concern in both the database community and the graphics society about data retrieval from large motion databases because the high dimensionality of motion data implies high costs. It is a challenging problem to find an effective distance measure and an efficient query processing method for such data. In this paper, we present an elaborate motion query processing system, SMoFinder...
Building high-performance clusters using one of the two leading network technologies, Myrinet and InfiniBand, has been thought as a de facto way to achieve several teraflops computing power. Meanwhile, maintaining both types of clusters, it appears, may have created an another challenge for the MPI programming system, the most popular parallel programming library that has been successfully used on...
Building high-performance clusters using one of the two leading network technologies, Myrinet and InfiniBand, has been thought as a de facto way to achieve several teraflops computing power. Meanwhile, maintaining both types of clusters, it appears, may have created an another challenge for the MPI programming system, the most popular parallel programming library that has been successfully used on...
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